dependent variable translating skill is 0.716 and significance at 0.684 level, it implies that the dependent variable translating skill is normally distributed.
Because the two variables are normally distributed, Ho is accepted p value 0.05.
2. Hypothesis Testing
After doing pre requirement testing, the hypothesis can be analyzed. The hypotheses in this study are:
1. The null hypothesis H
: There is no significant correlation between grammatical ability and translating text skill from English into Bahasa
Indonesia and vice versa of the se venth semester’s students at English
letters Department, UIN Syarif Hidayatullah Jakarta. 2.
Alternative hypothesis H
a
: There is a significant correlation between grammatical ability and translating text skill from English into Bahasa
Indonesia and vice versa of the seventh semester’s students at English
letters Department, UIN Syarif Hidayatullah Jakarta. To test the hypothesis, the writer uses simple linear regression
analysis and Pearson’s r correlation coefficients analysis.
a Simple Linear Regression Analysis
Regression analysis is a mathematic model to investigate the shape of relationship between two variables or more. This analysis can predict the value of
one variable dependent variable through other variable independent variable. In this study, the output of simple linear regression analysis can be seen as
follows:
Table 3.4 Model Summary
Model R R Square
Adjusted R Square Std. Error of the Estimate 1
.562
a
.315 .291
6.534 a.
Predictors: Constant, GRAMMAR
Table 3.5 ANOVA
b
Model Sum of Squares Df
Mean Square F Sig.
1 Regression 550.610
1 550.610
12.897 .001
a
Residual 1195.432
28 42.694
Total 1746.042
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a. Predictors: Constant, Grammar
b.
Dependent Variable: Translation
b Correlation Coefficient Analysis
Pearson’s r correlation coefficient is used to analyze the relationship between two continuous variables. This relationship may be positive or negative.
Pearson r coefficient vary between -1 and +1, with +1 indicating a perfect positive relationship, -1 = a perfect negative relationship, and 0 = no relationship.
44
44
Daniel Muijs.2004, op.cit. 144.
Table 3.6 Coefficients
a
Model Unstandardized
Coefficients Standardized
Coefficients T
Sig. B
Std. Error Beta
1 Constant 38.514
7.632 5.047
.000 GRAM
.421 .117
.562 3.591
.001 a. Dependent Variable: Translation
According to Calton, the power of two variables relationship can be divided into 4 areas:
r = 0.00 – 0.25 noweak correlation
r = 0.26 – 0.50 moderate correlation
r = 0.51 – 0.75 strong correlation
r = 0.76 – 1.00 very strongperfect correlation
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Furthermore, Pearson’s r correlation coefficients in this study can be analyzed as
follows:
Table 3.7 Correlations
GRAM TRANS
GRAM Pearson Correlation 1
.562 Sig. 2-tailed
.001 N
30 30
TRANS Pearson Correlation .562
1 Sig. 2-tailed
.001 N
30 30
. Correlation is significant at the 0.01 level 2-tailed.
C. The Interpretation of Data
